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      Relationship between sleep disturbances, lipid profile and insulin sensitivity in type 1 diabetic patients: a cross-sectional study

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          ABSTRACT

          Objective

          The consequences of sleep deprivation in type 1 diabetes (T1D) patients are poorly understood. Our aim was to determine how sleep disorders influence lipid profile and insulin sensitivity in T1D patients.

          Materials and methods

          This was a cross-sectional study at a public university hospital. Demographic information and medical histories were obtained during regular scheduled visit of T1D patients to the outpatient clinic. Insulin sensitivity was obtained using the estimated glucose disposal rate (eGDR) formula. Sleep quality was assessed using the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Berlin Questionnaire.

          Results

          The adult participants (n = 66, 62% women) had a median age of 28.0 years (interquartile range 21.8-33.0). Six patients (9%) had metabolic syndrome according to the International Diabetes Federation criteria. Thirty patients (46%) were considered poor sleepers according to the Pittsburgh Sleep Quality Index. The LDL-c and total cholesterol levels of poor sleepers were higher than those of good sleepers (103 v. 81; p = 0.003 and 178.0 v. 159.5 mg/dL; p = 0.009, respectively). Three patients (4%) were at high risk of obstructive sleep apnea syndrome (OSAS) according to the Berlin Questionnaire. The eGDR was lower in the group of patients with high probability of having OSAS (6.0 v. 9.1 mg.kg -1.min -1;p = .03).

          Conclusions

          Poor subjective quality of sleep and higher risk of OSAS were correlated with a worsened lipid profile and decreased insulin sensitivity, respectively. Therefore, T1D patients with sleep disturbances might have an increased cardiovascular risk in the future.

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          Most cited references40

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

            The development and use of a new scale, the Epworth sleepiness scale (ESS), is described. This is a simple, self-administered questionnaire which is shown to provide a measurement of the subject's general level of daytime sleepiness. One hundred and eighty adults answered the ESS, including 30 normal men and women as controls and 150 patients with a range of sleep disorders. They rated the chances that they would doze off or fall asleep when in eight different situations commonly encountered in daily life. Total ESS scores significantly distinguished normal subjects from patients in various diagnostic groups including obstructive sleep apnea syndrome, narcolepsy and idiopathic hypersomnia. ESS scores were significantly correlated with sleep latency measured during the multiple sleep latency test and during overnight polysomnography. In patients with obstructive sleep apnea syndrome ESS scores were significantly correlated with the respiratory disturbance index and the minimum SaO2 recorded overnight. ESS scores of patients who simply snored did not differ from controls.
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              Quantity and Quality of Sleep and Incidence of Type 2 Diabetes

              OBJECTIVE To assess the relationship between habitual sleep disturbances and the incidence of type 2 diabetes and to obtain an estimate of the risk. RESEARCH DESIGN AND METHODS We conducted a systematic search of publications using MEDLINE (1955–April 2009), EMBASE, and the Cochrane Library and manual searches without language restrictions. We included studies if they were prospective with follow-up >3 years and had an assessment of sleep disturbances at baseline and incidence of type 2 diabetes. We recorded several characteristics for each study. We extracted quantity and quality of sleep, how they were assessed, and incident cases defined with different validated methods. We extracted relative risks (RRs) and 95% CI and pooled them using random-effects models. We performed sensitivity analysis and assessed heterogeneity and publication bias. RESULTS We included 10 studies (13 independent cohort samples; 107,756 male and female participants, follow-up range 4.2–32 years, and 3,586 incident cases of type 2 diabetes). In pooled analyses, quantity and quality of sleep predicted the risk of development of type 2 diabetes. For short duration of sleep (≤5–6 h/night), the RR was 1.28 (95% CI 1.03–1.60, P = 0.024, heterogeneity P = 0.015); for long duration of sleep (>8–9 h/night), the RR was 1.48 (1.13–1.96, P = 0.005); for difficulty in initiating sleep, the RR was 1.57 (1.25–1.97, P < 0.0001); and for difficulty in maintaining sleep, the RR was 1.84 (1.39–2.43, P < 0.0001). CONCLUSIONS Quantity and quality of sleep consistently and significantly predict the risk of the development of type 2 diabetes. The mechanisms underlying this relation may differ between short and long sleepers.
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                Author and article information

                Journal
                Arch Endocrinol Metab
                Arch Endocrinol Metab
                aem
                Archives of Endocrinology and Metabolism
                Sociedade Brasileira de Endocrinologia e Metabologia
                2359-3997
                2359-4292
                30 March 2020
                Jul-Aug 2020
                : 64
                : 4
                : 412-417
                Affiliations
                [1 ] orgdiv1Departamento de Medicina Clínica orgnameUniversidade Federal Fluminense Niterói RJ Brasil originalDepartamento de Medicina Clínica, Universidade Federal Fluminense (UFF), Niterói, RJ, Brasil
                [2 ] orgdiv1Departamento de Medicina Clínica orgnameUniversidade Federal Fluminense Niterói RJ Brasil originalCurso de Pós-Graduação em Ciências Médicas, Departamento de Medicina Clínica, Universidade Federal Fluminense (UFF), Niterói, RJ, Brasil
                Author notes
                Correspondence to: Ana Carolina Musser Tavares de Mattos Setor de Pós-Graduação em Ciências Médicas, Universidade Federal Fluminense Avenida Marquês do Paraná, 303, 4º andar (prédio anexo ao Hospital Universitário Antônio Pedro) 24033-900 – Niterói, RJ, Brasil ana_musser@ 123456hotmail.com

                Disclosure: no potential conflict of interest relevant to this article was reported.

                Author information
                https://orcid.org/0000-0002-0523-5090
                https://orcid.org/0000-0001-8185-9850
                https://orcid.org/0000-0002-3402-7573
                https://orcid.org/0000-0001-8076-3435
                https://orcid.org/0000-0003-1579-5988
                https://orcid.org/0000-0003-3110-5270
                https://orcid.org/0000-0002-1815-9373
                https://orcid.org/0000-0002-5083-4543
                Article
                2359-3997000000228
                10.20945/2359-3997000000228
                10522075
                32267356
                31a5e7b5-ed6c-4fae-a1c8-c8881f019724

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 April 2019
                : 4 November 2019
                Page count
                Figures: 0, Tables: 2, Equations: 1, References: 35
                Funding
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
                Award ID: 001
                This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (Capes) – Finance Code 001.
                Categories
                Original Article

                sleep apnea, obstructive,diabetes mellitus, type 1,insulin resistance,dyslipidemias,extrinsic sleep disorder

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